Choices in networks: a research framework

Fred Feinberg (), Elizabeth Bruch (), Michael Braun (), Brett Hemenway Falk (), Nina Fefferman (), Elea Feit, John Helveston (), Daniel Larremore (), Blakeley B. McShane (), Alice Patania () and Mario L. Small ()
Additional contact information
Fred Feinberg: University of Michigan
Elizabeth Bruch: University of Michigan
Michael Braun: Marketing, Southern Methodist University
Brett Hemenway Falk: Univ. of Pennsylvania
Nina Fefferman: University of Tennessee
John Helveston: George Washington U
Daniel Larremore: University of Colorado Boulder
Blakeley B. McShane: Northwestern University
Alice Patania: Indiana University
Mario L. Small: Harvard University

Marketing Letters, 2020, vol. 31, issue 4, No 6, 349-359

Abstract: Abstract Networks are ubiquitous in life, structuring options available for choice and influencing their relative attractiveness. In this article, we propose an integration of network science and choice theory beyond merely incorporating metrics from one area into models of the other. We posit a typology and framework for “network-choice models” that highlight the distinct ways choices occur in and influence networked environments, as well as two specific feedback processes that guide their mutual interaction, emergent valuation and contingent options. In so doing, we discuss examples, data sources, methodological challenges, anticipated benefits, and research pathways to fully interweave network and choice models.

Keywords: Choice models; Networks; Decision theory; Computational social science; Marketing; Data science (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11002-020-09541-9

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